Evidence map›Paper›PMID 32573798›Full record

ArticleAlcoholism, clinical and experimental research2020

Microecological Relationships Between Area Income, Off-Premise Alcohol Outlet Density, Drinking Patterns, and Alcohol Use Disorders: The East Bay Neighborhoods Study.

Christina Mair, Natalie Sumetsky, Paul J Gruenewald, Juliet P Lee

Abstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Alcohol Consumption Patterns: A Systematic Review of Demographic and Sociocultural Influencing Factors.International journal of environmental research and public health · 2022
    Pooled it
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  7. Reward deprivation is associated with elevated alcohol demand in emerging adults.Journal of the experimental analysis of behavior · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Christina MairFrom the, Department of Behavioral and Community Health Sciences, (CM, NS), University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.ORCID 0000-0003-3841-3313
Natalie SumetskyFrom the, Department of Behavioral and Community Health Sciences, (CM, NS), University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.
Paul J GruenewaldPrevention Research Center, (PJG, JPL), Pacific Institute for Research and Evaluation, Beltsville, Maryland.ORCID 0000-0002-0474-9524
Juliet P LeePrevention Research Center, (PJG, JPL), Pacific Institute for Research and Evaluation, Beltsville, Maryland.

Funding

Transitions and Alcohol Use in the Later Lifespan: Environmental and Individual-level InfluencesP60AA006282 · NIAAA · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI MALLIE J PASCHALL · 2003 to 2026
$41.2M
Impacts of Off-Premise Alcohol Outlets on Local Neighborhood Alcohol ProblemsR01AA023085 · NIAAA · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI LEE, JULIET P · 2015 to 2018
$1.5M
Explaining Local Impacts of Off-Premise Alcohol Outlets on ProblemsR01AA024759 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MAIR, CHRISTINA FURBER · 2016 to 2019
$1.3M
NIAAA NIH HHS P60 AA006282NIAAA NIH HHS R01 AA023085NIAAA NIH HHS R01 AA024759
6 · The paper itself

Abstract

backgroundDistinguishing the impacts of neighborhood income and off-premise alcohol outlet density on alcohol use has proven difficult, particularly given the conflation of these measures across neighborhood areas. We explicitly test for differential effects related to individual and area income and outlet densities on alcohol use and alcohol use disorders (AUDs) by implementing a stratified microecological sample.

methodsThe East Bay Neighborhoods Study included a survey of 984 residents of 72 microenvironments within a geographically contiguous 6-city area in California and Systematic social observations of each site. The sites included 18 areas in each of 4 strata (high/low median household income and off-premise outlet density). We assessed 4 outcomes: 28-day drinking frequency, average quantity of alcohol consumed per drinking occasion, 28-day drinking volume, and Alcohol Use Disorders Identification Test (AUDIT) score. We used zero-inflated negative binomial regression with standard errors adjusted for site clusters to relate drinking measures to individual-level age, race/ethnicity, gender, marital status, education, and income, and neighborhood indicators of site strata, physical disorder, and physical decay. An interaction term was tested representing site-level by individual-level income.

resultsLiving in a high-income site, regardless of off-premise alcohol outlet density, was associated with more frequent drinking and higher alcohol dependence/problems. Both individual-level income and site-level income were related to greater frequencies of use, but lower income drinkers in high-income areas drank more than comparable drinkers in low-income areas. Study participants living in high-density off-premise alcohol outlet sites drank less frequently but did not differ in terms of either AUDIT scores or heavy drinking from participants living in low-density sites.

conclusionsUsing a stratified microecological sampling design, we were able to directly assess statistical associations of off-premise outlet density and neighborhood median household income with patterns of drinking and AUDs. Caution should be used interpreting prior study findings linking off-premise outlet densities to drinking.

Indexed as

Residence CharacteristicsAdultAgedAlcohol DrinkingAlcoholic BeveragesAlcoholismCaliforniaCommerceFemaleHumansIncomeMaleMiddle AgedRisk FactorsSocial EnvironmentAlcoholAlcohol OutletsAlcohol Use DisordersArea IncomeNeighborhoods

Identifiers

PMID32573798
PMCPMC7745502

What OpenQuestion holds

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LicenceTDM
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.